Machine-learning approach for quantified resolvability enhancement of low-dose STEM data L Gambini, T Mullarkey, L Jones, S Sanvito Machine Learning: Science and Technology 4 (1), 015025, 2023 | 11 | 2023 |
Quantitative analysis of printed nanostructured networks using high-resolution 3D FIB-SEM nanotomography C Gabbett, L Doolan, K Synnatschke, L Gambini, E Coleman, AG Kelly, ... Nature Communications 15 (1), 278, 2024 | 9 | 2024 |
An algorithm for toroidal field harmonics computation in arbitrary magnetic configurations L Gambini, M Breschi, E Felcini, A Cristofolini, L Bottura IEEE Transactions on Applied Superconductivity 30 (4), 1-5, 2020 | 6 | 2020 |
Expansion of the magnetic flux density field in toroidal harmonics L Gambini Bologna U., 2018 | 5 | 2018 |
Morphological Characterisation of Printed Nanostructured Networks using High-resolution 3D FIB-SEM Nanotomography C Gabbett, L Doolan, K Synnatschke, L Gambini, E Coleman, A Kelly, ... | 2 | 2023 |
3D-imaging of Printed Nanostructured Networks using High-resolution FIB-SEM Nanotomography C Gabbett, L Doolan, K Synnatschke, L Gambini, E Coleman, AG Kelly, ... arXiv preprint arXiv:2301.11046, 2023 | 2 | 2023 |
33 Novel use of a video frame interpolation algorithm for radiation dose reduction in the catheterisation laboratory using AI-generated synthetic angiographic images R Gallen, L Gambini, P Gilligan, I Casserly, S Sanvito, P Banahan, ... Heart 110 (Suppl 6), A32-A33, 2024 | | 2024 |
Video frame interpolation neural network for 3D tomography across different length scales L Gambini, C Gabbett, L Doolan, L Jones, JN Coleman, P Gilligan, ... Nature Communications 15 (1), 7962, 2024 | | 2024 |
PP16. 06 FEASIBILITY OF A NOVEL VIDEO FRAME INTERPOLATION ALGORITHM FOR RADIATION DOSE REDUCTION IN THE CATHETERISATION LABORATORY USING AI-GENERATED SYNTHETIC ANGIOGRAPHIC IMAGES P Gilligan, R Gallen, L Gambini, P Banahan, S San Vito, S Burke, ... Physica Medica 125, 103603, 2024 | | 2024 |